Hi everyone,
I'm a CS grad with hands-on experience building production systems on my own. I have built full-stack applications with data science/ML built in, backed by some research experience working with real-world data.
Happy to share more details on what I've built. If you're a founder looking for a founding engineer, or hiring for something similar, reach out to me or drop a comment below
I'm a final-year CS student who's spent the last year building full production systems. Sharing here because I'm looking for a founding or early engineer role where I can own real problems end-to-end.
What I've built:
→ A full-stack sports analytics platform: Next.js/TypeScript frontend, normalized PostgreSQL schema, an AutoML feature-engineering pipeline for outcome prediction, all deployed via CI/CD.
→ A multi-agent LLM backend for sports coaching analytics. RAG-style architecture where an agent retrieves player-specific performance data as context and generates natural-language coaching explanations. The harder part was a label-free ranking algorithm I designed and validated against expert human rankings.
Comfortable across the stack: TypeScript/Node/React on the frontend and API layer, PostgreSQL/data pipelines, and Python/PyTorch/XGBoost when the problem needs real ML.
Looking for: founding engineer / early-stage roles, fully remote. Most excited by teams where the ML and product work aren't separate — where I'd be building both.
GitHub: https://github.com/abdullah-azeemi | Portfolio: https://abdullah-musharaf.vercel.app/
Happy to share more details / talk through any of this — DMs open, or drop a comment.
Hello everyone,
So I have been working on this for a while and finally have something worth sharing.
It's called Slipstream; it pulls real F1 telemetry, lap times, and race data, and runs it through an ML model (FLAML/XGBoost) to predict race outcomes, plus proper telemetry comparisons between drivers.
I am thinking of adding an AI agentic system to this and will update soon.
I would appreciate feedback on what I should add and what you would like to see in this.
Live Demo: https://slipstream-f1.vercel.app
Hello everyone,
So I have been working on this for a while and finally have something worth sharing.
It's called Slipstream; it pulls real F1 telemetry, lap times, and race data, and runs it through an ML model (FLAML/XGBoost) to predict race outcomes, plus proper telemetry comparisons between drivers.
I am thinking of adding an AI agentic system to this and will update soon.
I would appreciate feedback on what I should add and what you would like to see in this.
Live Demo: https://slipstream-f1.vercel.app
The SBASSE Lgat and Subject Test will take place on May 3rd. Any senior with advice on preparation or specific points to watch out for?